7831026941510001000.IJITM-90102.pdf (362.49 kB)
‘Are you having a laugh?’: detecting humorous expressions on social media: an exploration of theory, current approaches and future work
journal contribution
posted on 2021-12-21, 08:53 authored by Suzanne ElayanSuzanne Elayan, Martin SykoraMartin Sykora, Tom JacksonTom Jackson, Ejovwoke OnojeharhoThe role of humorous content on social media has rarely been taken into account in prior work. Understanding its dynamics on social media provides insight that could benefit a range of applications in sentiment analysis. This paper introduces literature on humour theory, related human behaviour and a discussion of existing automated approaches to humour detection. We present and review current research on humorous language use on social media and its significance. In particular, example humorous expressions from Twitter are used to illustrate the heterogeneous types of humour on social media. Since most prior work focused on English language contexts, the analysed example uses of humour are set in the Arabic cultural context, providing a novel view. The primary contribution of this paper is the position that similar to sentiment analysis, automated humour detection in its own right has potential in understanding public reactions and should be explored in future studies.
History
School
- Business and Economics
Department
- Business
Published in
International Journal of Information Technology and ManagementVolume
21Issue
1Pages
115 - 137Publisher
InderscienceVersion
- VoR (Version of Record)
Rights holder
© The AuthorsPublisher statement
This is an Open Access Article. It is published by Inderscience under the Creative Commons Attribution-Non Commercial-No Derivatives 4.0 International (CC BY-NC-ND 4.0). Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Acceptance date
2020-03-31Publication date
2022-03-04Copyright date
2021ISSN
1461-4111eISSN
1741-5179Publisher version
Language
- en